The `y-range`

seems to be reset to (0,1) when there is an `inf`

value in the data. The data is actually in the plot with the `inf`

value is removed, but you only see an empty plotting window. `pandas.plot`

seems to handle this better. Can anyone comfirm this bug?

```
df = pd.DataFrame(data=np.cumsum(np.random.normal(size=(100,1)))+100,columns=['data'])
df_inf = df.copy()
df_inf.iloc[2,:] = np.inf
```

```
%%capture
ax = df_inf.plot(y='data',title='matplotlib get y-range correct')
```

```
pn.Column((df_inf.hvplot(y='data',label='contains inf value') +
df_inf.hvplot(y='data',label='contains inf value, manual ylims (90,110)').opts(ylim=(90,110)) +
df.hvplot(y=[('data','data inf removed')],label='removed inf value')).opts(hv.opts.Curve(axiswise=True,width=400,height=200)).cols(1),
ax.figure
)
```